Page 170 - ITU-T Focus Group Digital Financial Services – Executive Summary
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1       Introduction


            1.1     Background

            The PowerMatching concept was implemented in Groningen, in the Netherlands, as a demonstration project
            of a future energy-infrastructure called PowerMatching City. Twenty-five households with smart appliances,
            such  as  micro-combined-heat-power  systems  that  match  their  energy  use  in  real  time  based  upon  the
                                                     46
            available energy generation, were connected.  PowerMatching City is, first and foremost, the European field
            trial to connect supply and demand of electricity and heat in an intelligent way (smart grids). The purpose of
            the ongoing project is to fully profit from characteristics of both centralised and renewable energy systems.


            1.2     Challenge and response
            According to various EU projections, in the next twenty years, households will obtain an increasing part of
            their energy requirements from renewable and/or local resources. The Smart Grid is the most promising
            solution for the issues caused by increased electrification and the large-scale introduction of distributed
            power generation in the power system. The Smart Grid in fact offers several significant advantages. First, it
            allows  for  two-way  communication,  which  enables  demand  and  response.  Secondly,  domestic  power
            generation is a key component, which makes the end-user both a producer and a consumer, or a prosumer,
            of electric power. In a Smart Grid, prosumers are both incentivized and empowered to contribute to the
            balance of power supply and demand in the system. Thirdly, by producing power locally, Smart Grids also
            minimize transmission cost, as energy is lost in the power network transmission lines. Matching supply and
            demand at a local level therefore can be used to minimize the losses from transportation; a feature of the
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            Smart Grid which offers both economic and environmental gains.

            2       The Project(s)


            2.1     Vision and content

            The PowerMatching City project was created to reply to questions like:
                    (a)  How can we accelerate the energy transition?
                    (b)  How can we stimulate consumers to take action? and
                    (c)  How can we ensure that the new energy system will be sustainable, affordable and reliable?
                    In fact its aim was to give the transition to a sustainable energy system the best chance of success
                    by actively involving consumers and letting them contribute to the transition. The project team was
                    convinced that once participants have experienced how to live sustainably at home, they will use
                    this  knowledge  in  their  work  as  well,  and  this  could  accelerate  the  desired  energy  transition
                    considerably.

            2.2     Implementation

            PowerMatching City is a living lab demonstration of the future energy system, located in Groningen in The
            Netherlands.  In  PowerMatching  City  the  connected  households  have  smart  appliances  that  match  their
            energy use in real time, depending on the available (renewable) generation.

            The participants were mainly early adopters, with high educational levels and income and were recruited
            through the network contacts of the project partners, as well as calls for participation in a local newspaper.

            ____________________

            46   Power supply–demand balance in a Smart Grid: An information sharing model for a market mechanism”, Applied
               Mathematical Modelling 38, 2014.
            47   Power supply–demand balance in a Smart Grid: An information sharing model for a market mechanism”, Applied
               Mathematical Modelling 38, 2014.

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